Communicative transformations as a consequence of the development of modern digital internet technologies

Authorship and individualization in the digital public sphere

Digital technologies enable companies to transform existing product or service models into intelligent models and apply data-driven strategies to become more competitive. The emergence and application of digital technologies enhances the innovative potential of enterprises. In a world where companies operate in a highly competitive environment, they are under increasing pressure to make the most of their available resources to innovate and improve their performance. Therefore, companies that innovate using digital technologies can improve their productivity and become innovative companies. The use of digital technologies such as artificial intelligence, cloud computing, data mining, and the Internet of Things in companies leads to significant business achievements such as improved customer service and engagement, simplified operations, and business innovation. Digital technologies, including information and communication technologies, have enabled some small businesses to cope with some of their liabilities. In addition, due to the 2020 COVID-19 epidemic, which has had a significant impact on global behavior, the simultaneous development of several key digital technologies in the ICT field has developed at an unprecedented pace, affecting all sectors and industries. The development of digital technologies such as artificial intelligence, the Internet of Things, blockchain, and fifth-generation wireless networks (5G) has created a viable ecosystem for identifying and exploiting new opportunities in business and industry. Digital technologies and platforms are transforming existing enterprises and industries. New business models, new products, new forms of innovation, and enterprise transformation to adapt business operations and strategies to the digital era are some of the impacts of digital technologies on business and entrepreneurship. The purpose of this paper is to analyze the current methodology of digital transformation based on artificial intelligence, while revealing the flexibility and empowerment of human capabilities. The object of the study is the accounting methodology used in commercial banks for accounting, classification and presentation of digitalization in the field of artificial intelligence development. The methodological basis of the study is based on the Laws and regulatory decrees on the development of science and technology. The main hypothesis of the study is that the current methodology reflects a targeted improvement in significantly increasing the transparency and quality of digital decision-making. Presentation of the material. The main material of the article is an analysis of the methodology based on the regulatory framework in force in Azerbaijan. It emphasizes the role of artificial intelligence in the structure of the use of digitalization, and also offers recommendations for improving the digital economy to ensure an accurate reflection of the economy today. The originality of the article lies in the assessment of the existing methodology of the digital economy, identifying the factors influencing decision-making to strengthen the implementation of the digital economy. The practical significance of the study lies in the proposed facts on compliance with regulatory requirements and making more informed decisions both within and outside the country. Conclusions. The study concludes that the current methodology leads to transparency and accuracy in reflecting the widespread implementation of digitalization. These methodological improvements are expected to facilitate faster adoption of artificial intelligence.

Strategic priorities of social production digitalization: world experience

The widespread development of big data and artificial intelligence technology has brought a new development path to digital media technology at this stage. By applying virtual reality technology to multiple areas of digital media, digital media technology has fully demonstrated the actual ability of the scene structure of virtual reality technology in film and television production, game scene settings, urban planning, construction tourism and other industries. The development of digital media technology has brought new development space. The application of virtual reality technology can further shorten the distance between customers and information providers, bring the development of digital media technology into a new fast lane, and further increase the efficiency of digital media information dissemination. This article uses data analysis methods to build an evaluation model, study virtual reality technology in terms of technological coverage, and further proves by data theory that virtual reality technology brings a new direction and role in the development of digital media technology.

მცირე ბიზნესში ციფრული და კოგნიტური ტექნოლოგიების გამოყენების აქტუალურობა გლობალური პანდემიის პირობებში

The article presents a study of the current state of the use of digital technologies in the agro-industrial complex. The development of the agro-industrial complex in the conditions of the digital economy involves the use of innovative, digital, cluster, information and computer technologies, as well as new managerial, economic, organizational methods, with fundamentally new properties, which are aimed at increasing the efficiency of production, management and implementation for all areas of the agro-industrial complex. Based on the analysis of foreign experience, the regulatory framework of the Russian Federation, digital standards, types of digital technologies, the paper considers the types of digital technologies in the agro-industrial complex and the possibility of their use for future development. The methodological basis of the study was the works of domestic scientists-economists on the development of innovations and digital technologies in the agro-industrial complex; general scientific research methods (abstract-logical, economic-statistical, etc.) were used, as well as open analytical materials on the development of digital technologies, the use of artificial intelligence and neural networks in the agro-industrial complex, etc. The article reveals that the range of digital technologies currently being created for the agro-industrial complex is diverse and it is aimed at solving a set of problems: growth of output and the efficiency of the agricultural enterprise, introduction of artificial intelligence; creation of insight based on images; determination of the optimal mixture for agronomic products; monitoring the state of crops; methods of automating irrigation and stimulating farmers, etc. As world best practices show, the use of digital technologies in agriculture makes it possible to achieve economic growth in the industry. However, the main problem of introducing digital technologies in agriculture is the high cost of their implementation.

As the new Social Media Editor for the International Journal of Mental Health Nursing (RW), I would like to pay respect to my predecessor, the inaugural Social Media Editor, Mr. Paul McNamara. We are grateful for his 10 years of social media leadership with this journal and of the impact that has been apparent (McNamara, 2022). Social media has proved to be a vital platform for amplifying the voice of mental health nurses worldwide and in sharing our scientific and practice knowledge (McNamara & Usher, 2019). As mental health nurses, we have engaged with social media strategically for some time through establishing professional networks that extend beyond the local and regional, enabling and reinforcing a wider global dialogue (Wilson et al., 2014; Wilson & Armstrong, 2016). We have used it to strengthen our practice as educators, scientists, and clinicians (Cronin et al., 2020; McNamara, 2021; Usher et al., 2014; Wilson & Usher, 2017). As technology continues to transform, it reveals expanded capacity and capabilities, and it is inevitable that we will continue to see innovative implementation, and leadership evolving within our discipline. In today's digital age, social media is an integral part of our lives. Even if we are not aware of it, our mobile phones listen to us and track our online activity, frequently resulting in unsolicited tailored advertisements and offers aligned to our interests (Wilson et al., 2023). Social media platforms such as Facebook and Twitter have been around for nearly two decades, while the rise of wearable technology and the Internet of Things has enabled our devices to be more integrated and convenient to use (Higgins et al., 2023a). Additionally, integration of Artificial Intelligence (AI) with social media has revolutionized communication, accommodating instant language translation and human-like chatbots (Higgins et al., 2023b). Perhaps, there is no better example of the speed at which technology has seen expansive popular uptake than through the introduction of ChatGPT [a service within the OpenAI software brand] in November 2023, who themselves tweeted that they achieved 1 million users in just 5 days (see Figure 1). It is apparent that social media is entering a new transformative era, and that AI will rapidly accelerate the continued digital evolution. The discipline of mental health nursing should position itself to be ready to take advantage of the benefits on offer, and to address any limitations that may arise as a consequence. As mental health nurses, it is imperative that we understand the strengths and risks associated with social media and technology use, as occasionally, the people we care for may experience problematic technology use that can adversely impact their mental health (Luengo-González et al., 2022). Our own experiences with social media, as end-users, allow us to participate in the public discourse surrounding mental health, with Usher and Jackson (2023) providing us with a recent example, noting their observations about the way social media had been used in the public grieving context. As social media users, mental health nurses have an opportunity to promote accessibility and equity to reach vulnerable or priority populations that may otherwise be digitally disadvantaged. Thus, we can ensure our voices of advocacy are represented in the digital and wider community, amongst developers, and across policy and political domains to support our service users' needs (Wilson et al., 2023). AI services, for example ChatGPT (2023), will offer opportunities to extend and enhance our practice. One of the major advantages of this technology is its ability to understand natural language interactions (Aljanabi et al., 2023). There are pros and cons to consider, and as such, human critical clinical judgement by mental health nurses will always be essential as an implementation consideration. With this caveat in mind, who better to explain the benefits of technology, such as ChatGPT, than ChatGPT itself. We asked ChatGPT to: ‘write an instructional guide demonstrating the pros and cons of using ChatGPT in the mental health nursing practice context’. The response generated is shown in Figure 2. It is noteworthy that even ChatGPT ‘confesses’ that it is not a substitute for human expertise and should not be used as a sole source of information. A person-centred approach to mental health care requires us to meet people wherever they are situated, and this must increasing include virtual or digital environments, in addition to familiar and traditional physical environments (Wilson, 2020). Many mental health nursing services can be delivered in a range of modes: face-to-face, virtually and/or a hybrid mixed-mode format with the integration of video, audio, and text-based communication. As mental health nurses, we must ensure that our perspectives as technology end-users are not omitted from the ad hoc training and discussions surrounding AI and social media implementation in our settings, because our advocacy (or lack of) can positively and/or negatively impact the quality of life for mental health service users (Wilson et al., 2023). As always, the wellbeing and safety of our service users must be our priority. In conclusion, social media is already an integral part of our lives and within many aspects of mental health policy and practice. As mental health nurses, we must carefully reflect on our biases, dominant sentiment, decisions, actions and narrative about our engagement (or not) with social media, and emerging technologies, to ensure that our considered perspectives and expertise are included, and amplified, in ongoing public discourse. It is important that we contribute to discussion about the adequacy of design and continue to influence ongoing development, and clinical solutions that are suitable for contemporary mental health care for people who require it. I (RW) look forward to interacting with our International Journal of Mental Health Nursing readers and followers across our social media channels. Together we will continue our discourse to strengthen the voices of mental health nursing scientists, scholars, practitioners, and peers globally. Website www.wileyonlinelibrary.com/journal/INM. Twitter twitter.com/IJMHN. Facebook www.facebook.com/IJMHN. LinkedIn www.linkedin.com/company/IJMHN.

PurposeThe objective of this paper is to analyze the relationship between innovation and the development of artificial intelligence (AI) and digital technologies in Europe. The use of digital technologies among European companies is studied through a composite index, while the relationship between innovation and AI is studied through a log-linear regression model. The results of the model have made possible to develop interesting indications for economic and industrial policy.Design/methodology/approachThe use of digital technologies among European companies is studied through a composite index of AI and information technology (ICT) (using the Fair and Sustainable Welfare methodology) with the aim of measuring territorial gaps and to know which European countries are more or less inclined to its use, while the relationship between innovation and AI is studied through a log-linear regression model.FindingsIn the paper, two different methodologies were used to analyze the relationship between innovation and the development of digital technologies in Europe. The synthetic indicator made possible to develop a taxonomy between the different countries, the log-linear model made possible to identify and explain the determinants of innovation.Originality/valueThe description of the biunivocal relationship between innovation and AI is a topical and relevant issue that is treated in the paper in an original way using a synthetic indicator and a log-linear model.

The development of the digital technology affects how humans perceive aesthetics in digital media. Including how the Indonesia gastronomic presentation is perceived in digital media both visually and audio. Gastronomy is the study of food and food culture. The development of digital information technology creates a space that is full of information, how can information about the Indonesian gastronomy continue to exist in the midst of cross-cultural information on today's digital media. People's behavior is influenced by the perceptions of netizens formed from digital information media, be it social media, television media, film media, even entertainment media on demand. This study uses a phenological approach to describe how the Indonesian gastronomic aesthetics are presented in various digital media platforms, namely social media Instagram, social media Facebook, social media Youtube, digital television media, digital film media, and entertainment digital media on demand. The data was obtained through observation of these various digital media platforms. This study produces a comparison of the aesthetic elements used in each of these digital media and how the existence of Indonesian gastronomy is presented in it.

The development of the digital technology affects how humans perceive aesthetics in digital media. Including how the Indonesia gastronomic presentation is perceived in digital media both visually and audio. Gastronomy is the study of food and food culture. The development of digital information technology creates a space that is full of information, how can information about the Indonesian gastronomy continue to exist in the midst of cross-cultural information on today's digital media. People's behavior is influenced by the perceptions of netizens formed from digital information media, be it social media, television media, film media, even entertainment media on demand. This study uses a phenological approach to describe how the Indonesian gastronomic aesthetics are presented in various digital media platforms, namely social media Instagram, social media Facebook, social media Youtube, digital television media, digital film media, and entertainment digital media on demand. The data was obtained through observation of these various digital media platforms. This study produces a comparison of the aesthetic elements used in each of these digital media and how the existence of Indonesian gastronomy is presented in it.

This study aims to examine the impact of digital and energy-efficient technology adoption on operational efficiency and environmental sustainability in seaport operations, focusing on the Northport case study. Global seaports undergo rapid transformation due to revolutionary developments in digital technologies, such as big data analytics, artificial intelligence, and the internet of things. Despite the increasing prevalence of these technologies, there remains a gap in understanding their holistic impact, particularly in terms of operational efficiency and environmental sustainability. To address this gap, this study employs a case study methodology, examining the adoption of digital and energy-efficient technologies at Northport, one of the busiest ports in the region. This research investigates how Northport's implementation of digital and energy-efficient technologies affects the allocation of resources, environmental practices, and operational procedures, utilizing qualitative data analysis based on observations, interviews, and documents. The findings indicate that the implementation of digital and energy-efficient technologies has resulted in significant improvements in operational efficiency, such as increased output, streamlined operations, and optimal resource allocation. This study also highlights the positive environmental impact of digitization, including reduced carbon emissions and enhanced environmental monitoring. This research contributes to the understanding of the multifaceted impacts of digital technology adoption in seaport operations and provides insights for policymakers, port authorities, and industry stakeholders seeking to leverage digitalization for sustainable port development. Keywords: Digital technology, Energy-efficient technology, Seaport, Sustainability, Operational efficiency DOI: https://doi.org/10.55463/hkjss.issn.1021-3619.64.6

Digital technology, including advancements in artificial intelligence, the Internet of Things, and data analytics, has the potential to revolutionize tackling the problem of carbon dioxide emissions and achieving sustainable development. The paper aims at checking the nature of the impact of digital technology development on carbon dioxide reduction for the EU countries in 2013–2020. The study applies the following methods: entropy methods, panel‐corrected standard error, and feasible generalized least squares. The digital technology development index enabled the classification of all the EU countries into two distinct groups: High Digital Technology Development and Moderate/Lower Digital Technology Development. The findings confirm that digital technology development has a significant impact on decreasing carbon dioxide emissions. In the first stage, the growth of digital technology causes a faster decrease in carbon dioxide emissions. However, beyond a certain threshold, the further improvement of digital technology results in diminishing marginal benefits of CO2 emissions reduction. Thus, the EU government should catalyze the extension of digital technologies among all sectors and levels. In addition, it requires enhancing digital literacy of the society and local authorities.

Intangible cultural heritage is the crystallization of Chinese wisdom and the witness of historical development. With the development of social economy, people's cognitive ability is also improving, and realize the importance of cultural heritage to the development of our economy and culture. In the new era of digital era, the research of cultural heritage protection is facing new forms and development direction, and also faces new opportunities and challenges. The continuous development and progress of information technology has made digital technology widely used in various fields, induding the protection of intangible cultural heritage. Under the premise of the development of digital media technology, the development of intangible cultural heritage has a wider space, and it also brings impact and challenge. Nevertheless, it is highly required to grasp the broad prospects brought by the development of digital technology, its effective spread and protection against the intangible culture.

In social media, a user can interact with other users who hold similar viewpoints, contributing to the creation of “echo chambers”. Echo chambers are networks where users’ viewpoints are not only highly homogenous but also mutually reinforcing; echo chambers can intensify societal divisions and facilitate the spread of misinformation. Therefore, it is crucial to identify the risk features that make users susceptible to joining echo chambers. In this context, this study pioneered the application of machine learning methods to begin a rigorous effort to identify these key features. We firstly defined an echo chamber as a network of users with highly homogeneous viewpoints and then employed an echo chamber identification algorithm to identify users within these networks. Given prior research that identified a notable influence of personality traits on the formation of echo chambers, our study innovatively integrated the five personality dimensions of the Big Five model with an additional 23 common user features, employing these as the feature variables in our analysis. Subsequently, we trained and compared the performance of three leading machine learning algorithms—LightGBM (Light Gradient Boosting Machine), XGBoost (Extreme Gradient Boosting), and CatBoost (Categorical Boosting)—in identifying echo chamber users on Weibo and Twitter (X). After selecting the best-performing model, we combined it with the SHAP (SHapley Additive exPlanations) method and successfully identified ten risk features. The results show that the CatBoost algorithm excels in accurately identifying echo chamber users. Key risk features driving users into echo chambers include user interactions with target posts, such as retweeting, commenting, and comments' sentiment and stance polarity (positive or negative). In conclusion, this study found that certain specific user behavior patterns and personality traits promote users joining echo chambers. These findings provide valuable insights into mitigating the formation and impact of echo chambers in online discussions.

Similar to many other fields, developments in digital technology and artificial intelligence have reached exciting levels within the orthodontic profession. However, it is predicted that certain branches of medicine, such as radiology, pathology and dermatology, may either ‘fall victim’ to the rapid advancements in artificial intelligence or undergo significant transformations. In this context, how will the digital transformations that excite orthodontists and the increasing integration of artificial intelligence in orthodontics impact the future of the profession? What long-term effects will these rapid advancements in artificial intelligence, in particular, have on orthodontics? This article seeks to stimulate a range of perspectives among orthodontists regarding the future of their profession by examining the recent developments in digital technologies, aligners, and artificial intelligence.